Who You Are:

Working as part of the FP&A team, you will be on the frontlines of maintaining and developing data pipelines, financial models and automated reporting covering our various business units – with a focus on trading and protocol services. Deliveries will directly feed management reporting whose audience includes individual traders/teams and company executives.

A candidate should have experience developing Python/SQL-based solutions, and a detailed working knowledge of core data engineering concepts (relational and non-relational data structures, ETL processes, unit/integration testing).

You should be able to conceptualize the “big picture” and translate concepts into detailed tactical execution plans while maintaining a high degree of accuracy. This person should be comfortable working in a fast-paced environment and have the ability and “grit” necessary to manage multiple high priority tasks.

What You’ll Do:

• Architect and own the FP&A insights data warehouse, establishing the single source of truth for firmwide management reporting, PnL analytics, budgeting, KPI tracking, and other strategic business intelligence.
• Leverage Python and SQL to build and evolve complex PnL attribution and KPI generation models to drive management reporting across multiple reporting cadences (daily, weekly, quarterly).
• Implement automated reconciliation frameworks ensuring data integrity across FP&A reporting systems, reducing manual processes and operational risk.
• Manage cross-functional initiatives partnering with Technology teams to modernize legacy FP&A Excel and Python models, defining technical requirements and architectural standards.
• Integrate best practices in data governance, version control, and testing across all FP&A technical development workflows.
• Provide easily accessible data for wider team, to support ad-hoc analyses for the business and CFO’s organization.
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

What We’re Looking For:

• 6+ years of progressive data engineering experience with deep expertise in Python and SQL
• We are open to hiring either a VP or Director for this position
  • VP: base salary range $175,000-$200,000, discretionary annual bonus on top
  • Dir: base salary range $225,000-$250,000, discretionary annual bonus on top
• Familiarity of various asset classes (FX, futures, options, etc.) and how to model their economic impact on a firm (PnL and capital).
• Strong analytical skills and experience working with large, unstructured datasets including data pipeline development to support insight generation
• Intellectually curious self-starter, comfortable in ambiguity and a fast-paced environment
• Highly detailed oriented with excellent communication skills

Bonus Points: 

• Experience with Databricks / Spark / Docker
• An understanding of data visualization tools – PowerBI, Tableau, etc.
• Knowledge of cryptocurrency
• Experience working at a high growth startup / tech company a plus

What We Offer:

• Competitive base salary and discretionary bonus
• Flexible Time Off (i.e. unlimited paid vacation days)
• Company paid Holidays (11)
• Company paid sick leave
• Company-paid health and protective benefits for employees, partners, and other dependents
• 3% 401(k) company contribution
• Competitive family planning benefits for US employees
• Generous paid Parental Leave
• Free virtual coaching and counseling sessions through Headspace
• Opportunities to learn about the Crypto industry
• Free daily snacks in-office
• Smart, entrepreneurial, and fun colleagues
• Employee Resource Groups

Benefits may vary depending on location.

Apply now and join us on our mission to engineer a new economic paradigm.